Contract Data Engineer – Azure / Databricks
Location:
London (2 days onsite)
Rate:
£550–£600 per day (Inside IR35)
Contract:
6 months
A leading UK financial institution is seeking an experienced Data Engineer to support the development and enhancement of a modern cloud-based data platform. This role will focus on building scalable data pipelines and supporting the evolution of a cloud-first data architecture.
Key Responsibilities
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Design and develop scalable data pipelines using modern cloud technologies.
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Build and optimise distributed data processing solutions using Databricks, Spark and Python.
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Develop and maintain data integration workflows using Azure Data Factory.
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Work with large datasets stored in Azure Data Lake environments.
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Collaborate with architects, analysts and engineering teams to deliver reliable and secure data solutions.
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Contribute to improving data quality, performance and operational monitoring across the platform.
Key Skills & Experience
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Strong experience with Azure Databricks, Azure Data Factory and Azure Data Lake.
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Advanced Python, SQL and Spark (PySpark) development experience.
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Experience building and optimising ETL / data pipelines in cloud environments.
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Knowledge of CI/CD and version control(Azure DevOps, GitHub or similar).
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Experience working with large-scale distributed data processing systems.
Contract Details
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6-month initial contract
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£550–£600 per day (Inside IR35)
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Hybrid working: 2 days per week onsite in London
If you’re an experienced Data Engineer with strong Azure and Databricks expertise and are available for a new contract, please apply or get in touch to discuss further.
